Computer Science Standards
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Standard Identifier: K-2.IC.20
Grade Range:
K–2
Concept:
Impacts of Computing
Subconcept:
Safety, Law, & Ethics
Practice(s):
Recognizing and Defining Computational Problems (3.1)
Standard:
Describe approaches and rationales for keeping login information private, and for logging off of devices appropriately.
Descriptive Statement:
People use computing technology in ways that can help or hurt themselves and/or others. Harmful behaviors, such as sharing passwords or other private information and leaving public devices logged in should be recognized and avoided. Students keep login information private, log off of devices appropriately, and discuss the importance of these practices. For example, while learning about individual responsibility and citizenship, students could create a "privacy folder" to store login information, and keep this folder in a secure location that is not easily seen and accessed by classmates. Students could discuss the relative benefits and impacts of choosing to store passwords in a folder online versus on paper. They could also describe how using the same login and password across many systems and apps could lead to significant security issues and requires even more vigilance in maintaining security. (HSS K.1) Alternatively, students can write an informational piece regarding the importance of keeping login information private and logging off of public devices. (CA CCSS for ELA/Literacy W.K.2, W.1.2, W.2.2)
Describe approaches and rationales for keeping login information private, and for logging off of devices appropriately.
Descriptive Statement:
People use computing technology in ways that can help or hurt themselves and/or others. Harmful behaviors, such as sharing passwords or other private information and leaving public devices logged in should be recognized and avoided. Students keep login information private, log off of devices appropriately, and discuss the importance of these practices. For example, while learning about individual responsibility and citizenship, students could create a "privacy folder" to store login information, and keep this folder in a secure location that is not easily seen and accessed by classmates. Students could discuss the relative benefits and impacts of choosing to store passwords in a folder online versus on paper. They could also describe how using the same login and password across many systems and apps could lead to significant security issues and requires even more vigilance in maintaining security. (HSS K.1) Alternatively, students can write an informational piece regarding the importance of keeping login information private and logging off of public devices. (CA CCSS for ELA/Literacy W.K.2, W.1.2, W.2.2)
Standard Identifier: 9-12.DA.10
Grade Range:
9–12
Concept:
Data & Analysis
Subconcept:
Collection, Visualization, & Transformation
Practice(s):
Creating Computational Artifacts (5.2)
Standard:
Create data visualizations to help others better understand real-world phenomena.
Descriptive Statement:
People transform, generalize, simplify, and present large data sets in different ways to influence how other people interpret and understand the underlying information. Students select relevant data from large or complex data sets in support of a claim or to communicate the information in a more sophisticated manner. Students use software tools or programming to perform a range of mathematical operations to transform and analyze data and create powerful data visualizations (that reveal patterns in the data). For example, students could create data visualizations to reveal patterns in voting data by state, gender, political affiliation, or socioeconomic status. Alternatively, students could use U.S. government data on criticially endangered animals to visualize population change over time.
Create data visualizations to help others better understand real-world phenomena.
Descriptive Statement:
People transform, generalize, simplify, and present large data sets in different ways to influence how other people interpret and understand the underlying information. Students select relevant data from large or complex data sets in support of a claim or to communicate the information in a more sophisticated manner. Students use software tools or programming to perform a range of mathematical operations to transform and analyze data and create powerful data visualizations (that reveal patterns in the data). For example, students could create data visualizations to reveal patterns in voting data by state, gender, political affiliation, or socioeconomic status. Alternatively, students could use U.S. government data on criticially endangered animals to visualize population change over time.
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